add_pseudonymize: De-identification via replacement

In deident: Persistent Data Anonymization Pipeline

De-identification via replacement

Description

add_pseudonymize() adds a psuedonymization step to a transformation pipeline. When ran as a transformation, terms that have not been seen before are given a new random alpha-numeric string while terms that have been previously transformed reuse the same term.

Usage

add_pseudonymize(object, ..., lookup = list())

Arguments

object	Either a data.frame, tibble, or existing DeidentList pipeline.
...	variables to be transformed.
lookup	a pre-existing name-value pair to define intended psuedonymizations. Instances of 'name' will be replaced with 'value' on transformation.#'

Value

A 'DeidentList' representing the untrained transformation pipeline. The object contains fields:

• deident_methods a list of each step in the pipeline (consisting of variables and method)

and methods:

• mutate apply the pipeline to a new data set

• to_yaml serialize the pipeline to a '.yml' file

Examples

# Basic usage; 
pipe.pseudonymize <- add_pseudonymize(ShiftsWorked, Employee)
pipe.pseudonymize$mutate(ShiftsWorked)

pipe.pseudonymize2 <- add_pseudonymize(ShiftsWorked, Employee, 
                                    lookup=list("Kyle Wilson" = "Kyle"))
pipe.pseudonymize2$mutate(ShiftsWorked)

deident documentation built on April 3, 2025, 6:14 p.m.